GoT-Splice protocol for multi-omics profiling of gene expression, cell-surface proteins, mutational status, and RNA splicing in human cells

STAR Protoc. 2024 Jun 21;5(2):102966. doi: 10.1016/j.xpro.2024.102966. Epub 2024 Mar 20.

Abstract

Studying RNA splicing factor mutations is challenging due to difficulties in distinguishing wild-type and mutant cells within complex human tissues and inaccuracies associated with reconstructing splicing signals from short-read sequencing data. Here, we present Genotyping of Transcriptomes (GoT)-Splice, a protocol that overcomes these limitations by combining GoT with enhanced long-read single-cell transcriptome and cell-surface proteomics profiling. We describe steps for long-read library preparation and analysis, followed by cDNA re-amplification, enrichment of mutation of interest, sample indexing, and GoT library preparation. For complete details on the use and execution of this protocol, please refer to Cortés-López et al.1.

Keywords: Gene Expression; Genomics; Molecular Biology; RNA-seq; Sequencing; Single Cell.

MeSH terms

  • Gene Expression Profiling / methods
  • Gene Library
  • Humans
  • Membrane Proteins* / genetics
  • Membrane Proteins* / metabolism
  • Multiomics
  • Mutation* / genetics
  • Proteomics / methods
  • RNA Splicing* / genetics
  • Single-Cell Analysis / methods
  • Transcriptome / genetics

Substances

  • Membrane Proteins